Lead developer of PoPS web platform; serves as project team manager, providing technical guidance and operational and strategic oversight
Provides high-level leadership, scientific guidance, and strategic oversight
Lead developer of the C++ library API and developer of PoPS module for GRASS GIS; simulation of interception of pests at US ports
Lead developer of the tangible user interface Tangible Landscape, and developer for PoPS management module and PoPS modules for GRASS GIS
Lead front-end developer of PoPS web platform; performs website design, scientific illustration, and video production
Automating surveillance alerts using citizen scientist data, develops rapid host maps and identifying parcel-level treatment priorities
Examines global transportation networks and their relationship to pest interception at US ports
Generates high-resolution host maps with complete spatial uncertainty estimations using machine learning
User experience study; develops questions and analyzes responses to assess technology usability and user preferences
Building a machine-readable database of pests’ biological traits and examining global trade networks to understand mechanisms of pest introduction
Ensures clarity of official project reports and publications, publicizes project findings through news writing and social media
Developer of a spatial-temporal neural network to forecast pest or pathogen spread
Provides insights into Field Operations and Policy needs for co-developing management strategies
Connects PoPS forecasting efforts with SAFARIS initiative
Provides high-level leadership, scientific guidance, and strategic oversight on decision making needs
Head of NC State’s Global Food Security faculty cluster; co-develops new collaborations between the cluster and Center for Geospatial Analytics
Using PoPS for modeling the spread of swine disease in North Carolina, incorporating inter-farm movement information
Studying long-distance pathogen dispersal and using PoPS to modeling spread of diverse systems, including wheat stripe rust and foot and mouth disease
Examines efficacy of spatial sampling designs to delimit pest or pathogen population boundaries and management strategies to account for pests’ biological traits